Apache Spark vs Tableau Online

Apache Spark

Spark is great as a workflow process and extract transform layer process tool. Is really good for machine learning especially for large datasets that can be processed in split file paralallelization. Spark streaming is scalable for close to real-time data workflow process.what it's not good for, is smaller subset of data processing.

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Anson Abraham

Data Czar

Envisagenics, Inc.Marketing and Advertising, 51-200 employees

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Tableau Online

Tableau is very well suited for large organizations because of its cost. It has a great visual design. It is particularly useful when there is data integration with other software required. Dashboards come out very well in such cases and help make sense out of data. These dashboards are used on a frequent basis once a baseline or a parameter is defined. Trend analysis and forecasting are a key to using this software and this is where it comes in very handy.

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Kruti Vaidya

Financial Analyst

Bank of America Merrill LynchFinancial Services, 10,001+ employees

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Feature Rating Comparison

Apache Spark

—

Tableau Online

8.0

Pixel Perfect reports

—

7.9

Customizable dashboards

—

8.8

Report Formatting Templates

—

7.3

Apache Spark

—

Tableau Online

8.0

Drill-down analysis

—

7.9

Formatting capabilities

—

8.0

Integration with R or other statistical packages

—

7.7

Report sharing and collaboration

—

8.2

Apache Spark

—

Tableau Online

8.0

Publish to Web

—

8.8

Publish to PDF

—

8.3

Report Versioning

—

7.6

Report Delivery Scheduling

—

7.7

Delivery to Remote Servers

—

7.9

Apache Spark

—

Tableau Online

8.3

Pre-built visualization formats (heatmaps, scatter plots etc.)

—

9.0

Location Analytics / Geographic Visualization

—

8.5

Predictive Analytics

—

7.4

Apache Spark

—

Tableau Online

8.2

Multi-User Support (named login)

—

8.2

Role-Based Security Model

—

8.1

Multiple Access Permission Levels (Create, Read, Delete)

—

8.0

Single Sign-On (SSO)

—

8.5

Apache Spark

—

Tableau Online

7.7

Responsive Design for Web Access

—

8.0

Dedicated iOS Application

—

7.3

Dedicated Android Application

—

7.7

Dashboard / Report / Visualization Interactivity on Mobile

—

7.9

Apache Spark

—

Tableau Online

7.6

REST API

—

8.0

Javascript API

—

8.3

iFrames

—

7.5

Java API

—

7.0

Themeable User Interface (UI)

—

7.3

Customizable Platform (Open Source)

—

7.6

Pros

Machine Learning.
Data Analysis
WorkFlow process (faster than MapReduce).
SQL connector to multiple data sources

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Anson Abraham

Data Czar

Envisagenics, Inc.Marketing and Advertising, 51-200 employees

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Visualizations of data
Aggregation of complex big data
Tabbed browsing for organization

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Verified User

Analyst in Quality Assurance

Hospital & Health Care Company, 10,001+ employees

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Cons

Debugging is difficult as it is new for most people
There are fewer learning resources

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Kartik Chavan

Data Analyst

The University of Texas at ArlingtonElectrical/Electronic Manufacturing, 1001-5000 employees

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While user intuitive, that is really only true for those with data analysis and BI experience. This is still a tool for experienced data crunchers and not something I would unleash to many in my organization.
Still requires business intelligence consumers to be specific in their requests for data in dashboards, so it still requires the touch point between the data and the user, it requires someone with some know-how, to be in the middle. So it is still not democratizing our organizational data.

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Kristopher Kroona

Director of Finance Systems

ACT Aspire LLCEducation Management, 11-50 employees

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Usability

No score

No answers yet

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Tableau Online8.2

Based on 1 answer

Simple, easy and straighforward interface.

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Phil Dana, PMOC

Business Development Director, Global Government Customer Solutions

Dun & Bradstreet CanadaInformation Services, 51-200 employees

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Alternatives Considered

Even with Python, MapReduce is lengthy coding. Combination of Python with Apache Spark will not only shorten the code, but it will effectively increase the speed of algorithms. Occasionally, I use MapReduce, but Apache Spark will replace MapReduce very soon. It has many built-in and faster features.

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Kartik Chavan

Data Analyst

The University of Texas at ArlingtonElectrical/Electronic Manufacturing, 1001-5000 employees

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Tableau Online is much faster to get data sets integrated and being used, accordingly. From almost day one, we were able to integrate our data warehouse and pull data directly into Tableau Online. This made us aware of some of the data details that we had been missing and were able to provide clear insight into our audience's behaviors.

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Mark Chiles

Senior Vice President of Digital/Chief Digital Officer

BPA WorldwideInformation Services, 51-200 employees

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No score

No answers yet

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Tableau Online7.8

Based on 22 answers

What I've found, when I need to get the details and share them, is that I have to download the image, then put it into a PDF or other format, to then share. I know that there is the embed feature, but that doesn't help much when trying to provide quick information, that's confidential, to the management team that doesn't have always have a login to Tableau Online, but they need the information that I'm providing.

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Mark Chiles

Senior Vice President of Digital/Chief Digital Officer

BPA WorldwideInformation Services, 51-200 employees

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Data Integration

No score

No answers yet

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Tableau Online7.9

Based on 22 answers

We are using direct integration with our data warehouse - Treasure Data. While there is a native integration, it's not as intuitive as most would like. When wanting to pass data to Tableau Online, the requirement is to output a query of data, which is good, but it's not always complete. It is nice, however, to be able to directly connect to a SQL, MySQL or online spreadsheet to have realtime data updated.

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Mark Chiles

Senior Vice President of Digital/Chief Digital Officer

BPA WorldwideInformation Services, 51-200 employees

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Return on Investment

Apache Spark has faster performance compared to MapReduce.
Combination of Python & Spark is the best. Shorter code, faster and efficient performance.
Can replace RDBMS

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Kartik Chavan

Data Analyst

The University of Texas at ArlingtonElectrical/Electronic Manufacturing, 1001-5000 employees

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